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Full Time Ai Coding Jobs (NOW HIRING)

Mason AI

Founding AI Engineer

San Francisco, CA · On-site

$160K - $210K/yr

You have the curiosity of a policy wonk to digest building codes and architectural diagrams. What ... * Full-time offer Note: We are unable to offer visa support. Compensation Range: $160K - $210K

Reliable Medical

AI Principal Engineer

Franklin, TN · On-site

$140K - $160K/yr

Development Team | Full-Time About the Role ReliaMed is building a modern web application with a ... Use Claude Code and similar AI coding agents as a core part of the development workflow, applying ...

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Capgemini

AI Engineer

New York, NY · On-site

... AI coding agents such as AMP and Claude Code is a required skill for this position Key ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

United Airlines

AI Engineer

Manhattan, NY · On-site

$107K - $147K/yr

... AI coding agents such as AMP and Claude Code is a required skill for this position Key ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

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Full Time Ai Coding information

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$33

$54

How much do full time ai coding jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for full time ai coding in the United States is $33.02, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $39.90 per hour, depending on experience, location, and employer.

What is a full time AI coding job?

A Full Time AI Coding job typically involves working as a software engineer or developer focused on creating, implementing, and maintaining artificial intelligence models and systems. Professionals in this role use programming languages like Python, R, or Java to build algorithms, train models, and deploy AI solutions for various industries. Responsibilities may include data preprocessing, model evaluation, and optimizing code for performance. These positions often require strong analytical skills, experience with machine learning frameworks, and collaboration with cross-functional teams. Full-time roles generally offer stable employment with benefits and the opportunity to work on advanced technology projects.

What are the key skills and qualifications needed to thrive as a full time AI coding professional, and why are they important?

To thrive as a Full Time AI Coding professional, you need strong programming skills (especially in Python), a solid grasp of machine learning concepts, and a relevant degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and knowledge of version control systems like Git are typically required. Critical thinking, problem-solving ability, and effective teamwork are vital soft skills that distinguish top performers. These skills and qualities are essential for building robust AI solutions, collaborating on complex projects, and driving innovation in a rapidly evolving field.

What are the main challenges faced by professionals in full time AI coding roles, and how can they be addressed?

One of the main challenges in full-time AI coding roles is keeping up with the rapid evolution of AI frameworks and tools. Professionals often encounter complex problem-solving scenarios that require a solid understanding of both machine learning theory and practical coding skills. Collaboration is also essential, as AI projects are typically team-driven and involve working closely with data scientists, product managers, and software engineers. To address these challenges, continuous learning, clear communication, and proactive participation in code reviews and team meetings are crucial for success.

What is the difference between Full Time Ai Coding vs Data Scientist?

AspectFull Time Ai CodingData Scientist
Required CredentialsBachelor's in CS, AI, or related; coding certificationsBachelor's/Master's in CS, Statistics, or related; data analysis certifications
Work EnvironmentTech companies, AI startups, R&D labsResearch institutions, tech firms, consulting
Employer & Industry UsagePrimarily in AI development teamsAcross industries for data analysis and insights
Common Search & ComparisonYesYes

Full Time Ai Coding focuses on developing AI algorithms and software, requiring strong programming skills. Data Scientists analyze data to extract insights, often using statistical tools. While both roles involve data and programming, Ai Coders specialize in building AI models, whereas Data Scientists focus on interpreting data for decision-making.

What are the most commonly searched types of Ai Coding jobs?

The most popular types of Ai Coding jobs are:

What states have the most Full Time Ai Coding jobs?

States with the most job openings for Full Time Ai Coding jobs include:

What job categories do people searching Full Time Ai Coding jobs look for?

The top searched job categories for Full Time Ai Coding jobs are:

What other helpful pages are available for Full Time Ai Coding?

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Full Time Ai Coding jobs near you
Infographic showing various Full Time Ai Coding job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $68,683 per year, or $33 per hour.

Intern Physical AI, Robotics & AI Coding - Spring 2027

Mountain View, CA • On-site

BMW Group
10K+ employees
Learn more about BMW Groupexternal

$40/hr

Full-time, Internship

Medical, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

BMW Group rating

7.7

Company rating: 7.7 out of 10

Based on 191 frontline employees who took The Breakroom Quiz

Job description

Job Title: Intern Physical AI, Robotics & AI Coding - Spring 2027
Posting Start Date: 9/3/26
Job Location (Long):
Mountain View, California United States
Job Description:
Spring 2027 Full-Time Internship - Mountain View, CA
January 11, 2027 - May 14, 2027
WHAT AWAITS YOU.
  • Scout emerging U.S.-based technologies, startups, research institutions, and industry players in the fields of Physical AI, Robotics, Vision-Language-Action (VLA) models, Robotic Foundation Models, and selected AI-enabled software development approaches and tools.
  • Evaluate technology trends, business models, and market developments to identify opportunities relevant for future BMW production systems and manufacturing processes.
  • Support benchmarking activities of humanoid robots, mobile manipulators, foundation models, and AI-enabled automation solutions.
  • Analyze data strategies for large-scale robotics deployment, including data acquisition, labeling, synthetic data generation, and scalable training approaches.
  • Support the planning, execution, and evaluation of Proof of Concepts (PoCs) with technology partners, startups, universities, and industrial suppliers.
  • Develop technology assessments and recommendations considering scalability, maturity, business impact, implementation effort, and strategic relevance for BMW.
  • Create management-ready reports, presentations, and technology overviews to communicate scouting results and project findings.
  • Collaborate with internal BMW stakeholders across production, technology development, innovation management, and digitalization functions.
  • Investigate how Physical AI and Robotics technologies can improve cost, quality, flexibility, and productivity in future manufacturing environments.

WHAT WE ARE LOOKING FOR.
  • Currently enrolled in a master's degree program at an accredited college or university.
  • US Work Authorization required.
  • Minimum cumulative GPA of 3.0 (overall, not just major).
  • Completed at least 60 college credit hours at the time of application.
  • Ability to work full-time (36.25 hours/week).
  • Must submit an unofficial college transcript with your application.

WHAT YOU SHOULD BRING.
  • Field of Study: Robotics, Mechanical Engineering, Computer Science, Artificial Intelligence, Electrical Engineering, Data Science, or related fields.
  • Business fluent English.
  • Strong interest in Physical AI, Robotics, Autonomous Systems, Machine Learning, and emerging technology ecosystems.
  • Basic understanding of robot learning approaches including Vision-Language Models (VLMs), Vision-Language-Action (VLA) models, Reinforcement Learning, and Foundation Models.
  • Familiarity with robotics frameworks and AI development tools such as ROS, Python, PyTorch, TensorFlow, Isaac Sim, Mujoco, as well as an interest in AI-assisted software engineering workflows, or similar environments.
  • Strong analytical skills and ability to evaluate technologies, business models, and market developments.
  • Experience conducting technical research, benchmarking studies, or data-driven analyses.
  • Ability to structure complex topics and communicate findings clearly through presentations and written reports.
  • Self-motivated, curious, and hands-on mindset with strong teamwork and communication skills.
  • Preferences:
    • Experience with data collection, synthetic data generation, data pipelines, or large-scale AI training workflows or AI-assisted coding, testing, and code review tools.
    • Experience with robot learning, imitation learning, reinforcement learning, or multimodal foundation models.
    • Experience working with robotics hardware platforms, simulation environments, or automation systems.
    • Prior involvement in startup scouting, venture analysis, technology strategy, or innovation projects.
    • Passion for transforming cutting-edge AI and robotics research into scalable industrial applications.

WHAT YOU CAN LOOK FORWARD TO.
  • Medical insurance coverage.
  • Paid time off in addition to company paid holidays where eligible.
  • Hybrid work environment.
  • Access to the Intern Vehicle Lease Program.

Relocation assistance is not available for this position. This is a hybrid role that requires office days at the Mountain View, CA office.
Undergraduate students: Hourly rate is $32.50.
Graduate students: Hourly rate is $40.00.
The selected student's current academic level will be used to determine the final pay rate. This statement is in accordance with state and local pay disclosure requirements.
As part of the hiring process, you may be required to successfully pass a background check. A satisfactory completion of a background investigation including verification of education, prior employment, criminal history, credit check history, and pre-employment drug screen to the extent permissible under applicable state law, is a condition of your offer of employment and your continued employment. The results of your background investigation are satisfactory and acceptable in the sole judgement and discretion of BMW Shared Services, LLC.
Even more so than the generous compensation and benefits, the culture and values of BMW of North America makes it the ultimate working environment. These values are Responsibility, Appreciation, Transparency, Trust, and Openness. We allow these values to guide the way we conduct ourselves and our business.
BMW in the United States is an equal opportunity employer. It is the policy of BMW Group in the United States to provide equal employment opportunity (EEO) to all qualified persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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